River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China.

Chen, Hao; Huang, Saihua; Xu, Yue-Ping; Teegavarapu, Ramesh S V; Guo, Yuxue; Nie, Hui; Xie, Huawei; Zhang, Luqi

Chen, Hao; Huang, Saihua; Xu, Yue-Ping; Teegavarapu, Ramesh S V; Guo, Yuxue; Nie, Hui; Xie, Huawei; Zhang, Luqi.

Afiliação

Chen H; College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Elec
Huang S; College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Elec
Xu YP; Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China. Electronic address: yuepingxu@zju.edu.cn.
Teegavarapu RSV; Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL, USA. Electronic address: rteegava@fau.edu.
Guo Y; Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China. Electronic address: yuxueguo@zju.edu.cn.
Nie H; College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Elec
Xie H; College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Elec
Zhang L; Zhejiang Hydrographic Technology Development and Operation Company, Hangzhou 310009, China.

Sci Total Environ ; 882: 163571, 2023 Jul 15.

Article em En | MEDLINE | ID: mdl-37087001

Palavras-chave

Baseflow; Ecological flow; LightGBM; SHAP framework; Southeast China

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article

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